This assignment is to implement the gradient descent algorithm (GDA) for training a simple linear regression model for the dataset
computer science
Description
GRADIENT
DESCENT ALGORITHM
1)
An understanding of linear regression by using
gradient descent as our optimization technique will help us understand more
complex models in the future. This assignment is to implement the gradient
descent algorithm (GDA) for training a simple linear regression model for the dataset
listed below. It is better to display the learning rate and convergence
criterion in your program (not hard-coded). The algorithm is listed below.
Age (x) B.P(y)
20
43
63
26
53
31
58
46
58
70
46
53
60
20
63
43
26
19
31
23
120
128
141
126
134
128
136
132
140
144
128
136
146
124
143
130
124
121
126
123
2)
After completing the above, you are to implement
the GDA for training multivariable linear regression model. (You can make up a
second set of input variables for a multivariable dataset).
Write your code in Python and A
GUI interface is mandatory. Submit a word file of your well-commented source
program, your design and your printed outputs (or screen shots). Please include
your codes in your word file. Please do not take codes from the website but try
to understand the algorithm and implement the algorithm on your own.
